1819 results about "Dimensional precision" patented technology

The invention relates to the field of numerical control machining, discloses a numerical control machining method and system integrating thermal expansion dynamic compensation, and aims to solve the problem that precision is out of control due to thermal deformation in high-speed cutting of motorcycle light alloy castings. The method comprises the steps that distributed temperature and displacement sensors are arranged in a key area of a workpiece, and a temperature field and thermal expansion amount are collected in real time; constructing a local thermal deformation prediction model based on a material expansion coefficient and a geometric structure, and correcting a tool path in real time through a coordinate system dynamic offset algorithm; and an on-line measurement feedback mechanism is introduced, and model parameters are adaptively optimized, so that closed-loop compensation is realized. The system comprises a sensing module, a thermal deformation modeling and compensation calculation module, a coordinate dynamic correction module, an online measurement feedback module and a parameter adaptive updating module. Through millisecond-level dynamic compensation and closed-loop self-optimization, the size precision and form and position stability of the complex thin-wall part under the high-temperature working condition are remarkably improved, the rejection rate and cooling energy consumption are reduced, and the method is suitable for a high-precision batch machining scene.

The invention discloses a machining error-oriented hardware part size compensation method and platform, and relates to the technical field of industrial control, in particular to the technical field of hardware part machining. The method comprises the steps that based on a to-be-machined part, structural basic characteristics are obtained, and a three-dimensional size compensation map is drawn up with the elasticity modulus of a material as a constraint; matching each tool path target compensation amount sequence based on the map, and synchronously predicting a size deviation value; introducing an environmental interference factor, and inputting the pre-training model to generate a dynamic correction coefficient; and on the basis of the data, cutter compensation, the feeding rate and the rotating speed are dynamically adjusted through a self-adaptive strategy till the machining error is stabilized within the tolerance range. The technical problem that in traditional hardware part machining, due to the fact that a static compensation strategy is difficult to adapt to a dynamic machining environment, the machining size precision is unstable is solved, and the technical effects that self-adaptive high-precision size compensation based on the real-time machining state and multi-source interference sensing is achieved, and the part machining consistency and the percent of pass are improved are achieved.

The invention discloses a positioning and clamping fixture for automobile frame welding, and relates to the technical field of automobile manufacturing equipment.The positioning and clamping fixture comprises a workbench, a welding angle adjusting mechanism is arranged at the top of the workbench, and a thermal deformation dynamic compensation positioning and clamping mechanism is arranged at the top of the welding angle adjusting mechanism; a PLC is installed on the top of the workbench. According to the positioning and clamping fixture for automobile frame welding, through the arrangement of the thermal deformation dynamic compensation positioning and clamping mechanism, position deviation caused by thermal deformation is corrected in real time, out-of-tolerance of the size precision of a frame welding part is avoided, subsequent correction processing links are reduced, the production cost is reduced, and the problems that an existing fixture adopts a fixed rigid clamping and positioning structure, and the machining efficiency is high are solved. The problems that position deviation caused by thermal deformation cannot be corrected in real time, the size precision of a frame welding part is out of tolerance, additional correction machining is needed in the follow-up assembling process, and the production cost is increased are solved.

The invention relates to the technical field of metal plastic forming, and discloses a titanium alloy radial forging reduction rate collaborative optimization method based on material testing, which comprises the following steps of: acquiring dynamic characteristic data in a forging process in real time by acquiring multi-dimensional material performance parameters, and constructing a multi-target collaborative optimization model; and intelligent collaborative configuration of the reduction rate parameters is realized by adopting a self-adaptive weight distribution strategy. And a thermal coupling factor normalization equation and a phase field free energy functional normalization model are established, and the technical problems that in a traditional forging process, due to empirical configuration of reduction rate parameters, the structure is uneven, and residual stress exceeds the standard are solved. A lightweight model is deployed through edge computing nodes, millisecond-level dynamic correction of an optimization scheme is realized in combination with a 5G industrial private network, and the grain size qualification rate and the size precision of the titanium alloy forgings are improved. The method improves the yield of the grain size of the forge piece, ensures that the residual stress of the forge piece is reduced, stably controls the size precision, and improves the batch stability of high-end titanium alloy parts.

The invention relates to the technical field of pipe bulging part positioning, and discloses a high positioning precision implementation process for a pipe bulging part, which mainly comprises the following steps: step 1, pipe manufacturing, step 2, pipe bending, step 3, preforming: performing preforming treatment on a metal pipe blank after pipe bending to ensure that the metal pipe blank meets the size and shape requirements before thermal expansion; 4, heating is conducted, specifically, the preformed pipe blank is heated to the high temperature of 900 DEG C or above; 5, thermal expansion is conducted, specifically, by means of air pressure or mechanical bulging, a punch is driven by an oil cylinder at the end of the part, local holes are punctured, bulging machining is conducted on the heated pipe blank, and the final shape of the pipe beam type part is obtained; and 6, cutting is conducted, specifically, the pipe beam subjected to thermal expansion is cut, waste materials at the holes and the ends are removed, a finished product meeting the requirement is obtained, during cutting, the puncturing holes in the step 5 serve as the positioning reference of the cutting brace, the part positioning precision is high, and the size precision of the cut part can be remarkably improved.

The present application relates to the technical field of metal plastic forming, and discloses a titanium alloy radial forging reduction rate collaborative optimization method based on material testing, which acquires dynamic characteristic data of a forging process in real time through multi-dimensional material performance parameter collection, constructs a multi-objective collaborative optimization model, and realizes intelligent collaborative configuration of the reduction rate parameter by using an adaptive weight distribution strategy. A thermal coupling factor normalization equation and a phase field free energy functional normalization model are established to solve the technical problems of uneven structure and excessive residual stress caused by the empirical configuration of the reduction rate parameter in the traditional forging process. A lightweight model is deployed through an edge computing node, and millisecond-level dynamic correction of the optimization scheme is realized in combination with a 5G industrial private network, thereby improving the grain size qualification rate and size accuracy of titanium alloy forgings. The present application improves the grain size qualification rate of forgings, ensures stable control of the size accuracy while reducing the residual stress of forgings, and improves the batch stability of high-end titanium alloy components.

The invention discloses a stainless steel stator blade composite repairing method based on model reconstruction, which is characterized by comprising the following steps of: acquiring a blade profile section and parameters of a stainless steel stator blade; blade profile size data of a new blade are collected, and a point cloud model is established; acquiring an optimal point cloud model based on the data of the point cloud model, and establishing a blade reference grid model as a blade modification standard model; adopting UG software to reconstruct the blade modification standard model; detecting an old blade of which the blade profile contour is within the baseline deviation range of the reference model according to the reconstructed blade modification standard model for repairing; and blade corrosion pit repairing and chord length repairing are conducted on the old blade based on the blade modification standard model, and blade modification and X-ray detection are conducted after repairing is completed. According to the method, the size precision of the established blade modification standard model is within 0.02 mm; the repairing area can effectively avoid the problem of secondary corrosion, and the service life of the blade is prolonged.

The invention particularly relates to an aluminum profile straightening machining method with an aluminum bar as a raw material, and relates to the technical field of aluminum profile machining. Extruding and forming; determining a straightening scheme; and precision detection. According to the method, a whole-process quality control system is constructed from raw material pretreatment to post-treatment storage; the straightening scheme depends on characteristic parameterization to accurately adjust pressure, match pressure maintaining and release stress in a targeted mode, and the problem of stress concentration of the special-shaped section is solved. Precision detection covers multi-dimensional form and location tolerances and defects, and data are fully traced, so that support is provided for quality closed-loop management and control; surface protection and storage are standardized through post-treatment, and performance degradation is prevented; the whole process is coordinated, the straightness, the stress uniformity and the size precision of the aluminum profile are greatly improved, and the requirements of the high-end field for high-quality profiles are met.

The invention belongs to the technical field of mold machining, and discloses a mold sensor monitoring and data analysis system and method based on the Internet of Things, and the method comprises the steps that a data collection module collects mold data and injection molding part data; the data acquisition module acquires temperature, pressure and time data of the mold; the image acquisition module acquires plastic part and mold images; the image preprocessing module preprocesses the image; the feature extraction module performs feature extraction on the image; the image analysis module identifies abnormal conditions of the mold and the plastic part; the injection molding simulation module simulates an injection molding process; and the data fusion analysis module comprehensively judges the states of the mold and the plastic part. Mold cracks and plastic part deformation abnormity can be recognized, and batch waste products are avoided; the injection molding simulation module predicts a melt flow path and optimizes the sprue design and the cooling system layout; the influence of thermal expansion on size precision is simulated, and mold testing times are reduced; and the data fusion analysis module combines the image and the sensor data to improve the state judgment reliability.

The frequency converter shell stamping device particularly relates to the technical field of frequency converter production and comprises a machine shell, a plurality of machine legs are fixedly connected to the lower end of the machine shell, a containing plate is fixedly connected to the inner surface of the machine shell, an upper die is fixedly installed at the lower end of a hydraulic cylinder, and a conveying and oil spraying assembly is arranged on the inner surface of the machine shell. A cooling supporting assembly is arranged on the inner surface of the lower mold and the inner surface of the upper mold. According to the frequency converter shell stamping device, by arranging the oil spraying mechanism, lubricating oil is sprayed to the upper die and the lower die, meanwhile, an aluminum alloy plate in the moving process can be sprayed, friction can be effectively reduced, abrasion between the dies and materials in the stamping process is reduced, the service life of the dies is prolonged, and meanwhile, the production efficiency is improved. And the lubricating oil can improve the stability in the stamping process, reduce the risks of material deformation, wrinkles and cracks, and ensure the surface quality and dimensional precision of the aluminum alloy plate.

The invention discloses an injection molding device with an auxiliary mold micro-opening and glue sealing structure, and the device realizes accurate micro-opening of a movable mold plate through the synergistic effect of a mold opening and closing assembly and an auxiliary mold opening assembly, so that the micro-opening distance of the movable mold plate can be kept in a controllable range of 0.5 mm-2mm. Therefore, the uniformity of mold cavity exhaust and material flow distribution in the injection molding foaming process is effectively improved; in addition, the structure of the injection screw is optimized, and a spiral dispersing element area and a pin mixing area are sequentially arranged at the head of the injection screw, so that the gas-containing molten material can be efficiently dispersed and homogenized, and the micropore structure and the surface quality of the interior of a product are remarkably improved. Compared with the prior art, the consistency and the size precision of the product can be remarkably improved, the defective rate is reduced, and the mechanical property and the appearance quality of the foamed plastic product are improved.

The invention belongs to the technical field of powder metallurgy, and particularly relates to a high-precision injection-molded titanium alloy workpiece and a machine learning assisted preparation method thereof.The machine learning assisted preparation method of the high-precision injection-molded titanium alloy workpiece comprises the steps that an original data set is obtained through three-dimensional mold filling numerical simulation, performing data processing on data in the original data set to obtain an expanded data set; based on the expanded data set, multiple different machine learning algorithms are adopted to construct an injection molding process parameter prediction model, and an optimal prediction model is obtained; and optimal process parameters are obtained based on the model, and a target titanium alloy workpiece is prepared. According to the method provided by the invention, three-dimensional mold filling numerical simulation and machine learning are fused, and the process parameter prediction model is constructed and optimized, so that the actual MIM process is guided, the titanium alloy workpiece with high dimensional precision can be obtained, the research and development period is greatly shortened, and the trial-manufacturing cost is reduced.

The invention relates to the technical field of aero-engine part machining, in particular to a machining method for a ceramic matrix composite turbine outer ring. The method specifically comprises the following steps: polishing a blank; blank detection; cutting the silicon shell; trimming is conducted; bonding is conducted; milling is conducted; repairing and cleaning by pincers; and inspecting. According to the method, a bonding clamping mode is adopted, a traditional pressing plate and bolt pressing structure is omitted, the structure of a tool clamp is simplified, the operation complexity of the clamp is reduced, and large machining and tool cost is saved; after the blank benchmark of the part is determined, the part is directly machined to the final size at a time, benchmark conversion is not needed, machining errors caused by clamping and benchmark conversion are reduced, the size precision and stability are guaranteed, and meanwhile the production efficiency is improved.

The invention provides a manufacturing method of a compressor slip sheet, the compressor slip sheet is provided with a sliding surface in sliding connection with a compressor cylinder body and a hinge part for hinging a compressor piston, and the compressor slip sheet is used for realizing eccentric rotation of the compressor piston and a crankshaft and realizing air compression, and the manufacturing method comprises the following steps: preparing a slip sheet body; the thickness of the slip sheet body is 2.8 mm to 4.5 mm, and the slip sheet body is provided with a first plane used for machining a sliding surface and second planes located at the two axial ends of the hinge part; the first plane is ground; feeding from the first plane of the slip sheet body, carrying out at least one time of linear cutting according to the target track of the hinged part to obtain the hinged part, and enabling the diameter range of the hinged part to be 1.5 mm to 3.5 mm; the second plane is subjected to accurate grinding treatment; and inspecting the surface of the slip sheet body, processing edges, and cleaning to obtain the compressor slip sheet. The problems that the size precision of the hinged end of the sliding vane does not meet the requirement, high-speed and smooth rotation is difficult, and noise is easily generated due to vibration are solved.

The invention provides a hard springback processing system and method for precision stamping parts, and belongs to the technical field of precision stamping part manufacturing, and the system comprises a springback value detection module, a data processing module, a multi-field cooperative execution module and a closed loop feedback module. The springback value detection module collects springback value distribution data of the surface of the stamping part in a non-contact mode through a multispectral camera, and a visual numerical matrix is generated by combining color scale bar calibration. And the data processing module fuses finite element simulation and a machine learning model, and calculates the refined compensation amount of each region. The method comprises the steps of detecting springback value distribution after demolding, generating a compensation strategy, performing multi-field cooperative compensation and performing real-time feedback optimization. According to the invention, accurate identification and dynamic compensation of the micron-sized springback value are realized, the problems of low detection precision, single compensation mechanism and poor adaptability in the prior art are solved, elastic springback is effectively inhibited, the shape and size precision of a workpiece are improved, manual correction links are reduced, and the production efficiency and the product qualification rate are improved.

The invention relates to the technical field of unmanned helicopters, in particular to a carbon fiber reinforced rotor wing connecting piece numerical control lathe vibration suppression clamp which comprises a claw disc, a vibration suppression mechanism and an inner supporting mechanism. The clamping blocks make contact with the ends of the carbon fiber rotor wing connecting pieces. The vibration suppression mechanism comprises a clamping adjusting assembly penetrating through the top of the damping rod, the clamping adjusting assembly is in pressure communication with the pneumatic rail, the damping rod provides buffering and vibration suppression, and the inner supporting mechanism and the claw disc are coaxially fixed. The clamping pressure is adjusted in real time through the linkage design of the pneumatic track and the vibration suppression mechanism, the cutting force difference during asymmetric machining is effectively balanced and high-frequency vibration of a carbon fiber material is suppressed in combination with a multi-point supporting structure of the inner supporting mechanism, so that the dimensional precision and the surface quality of a workpiece are guaranteed, and the machining efficiency is improved. The device has the advantages of dynamically adjusting clamping pressure, balancing cutting stress, restraining high-frequency vibration and improving machining precision.

The invention discloses a surface roughness and size precision common prediction method based on a relative position matrix, and mainly relates to the field of roughness detection. Comprising the steps that in the turning machining process, vibration signals are collected in real time through multi-channel acceleration sensors arranged at the positions of a main shaft, a tool and a workpiece clamp, and a roughness measuring instrument and a micrometer are synchronously used for measuring the surface roughness value and size data of a machined workpiece; normalization processing is carried out on the collected vibration signals, the vibration signals are converted into two-dimensional images to be expressed based on a relative position matrix algorithm, deep features are extracted through two-dimensional discrete wavelet transform, and the spatial expression ability of the signals is enhanced. The method has the beneficial effects that the vibration signal is converted into the two-dimensional RPM graph through the RPM, and the 2D-DWT is utilized to perform decomposition reconstruction and image fusion, so that the deep sharing features in the vibration signal are effectively extracted, and the method plays a key role in improving the prediction precision of the surface roughness and the size precision.

The invention relates to the technical field of precision manufacturing and intelligent control, and particularly discloses an intelligent spark machine machining parameter optimization method based on effect feedback, which comprises the following steps of: calculating an abnormal characteristic value of an electrode feeding speed by using Haar wavelet transform, and analyzing time sequence data of conductivity of a working solution by using fast Fourier transform; according to the method, abnormal characteristic values are obtained, the characteristic values are constructed into a comprehensive characteristic vector, the comprehensive characteristic vector is input into a random forest model for comprehensive analysis, an electric spark machining effect score is generated, the system can dynamically adjust the electrode feeding speed and the working fluid conductivity based on the effect score, and it is ensured that machining parameters are always in the optimal configuration; according to the method, the machining efficiency is improved, the rejection rate is reduced, the surface quality and the size precision of the product are greatly improved, and the requirement of precision manufacturing is met.

The invention discloses a rolling treatment process for one-step forming of w-shaped hinge section steel, and particularly relates to the technical field of rolling treatment processes, which comprises the following steps: S1, heating; s2, descaling is carried out; s3, rolling is conducted; s4, cooling; s5, straightening; s6, saw cutting; and S7, quality inspection. According to the rolling treatment technology for one-time forming of the W-shaped hinge section steel, the efficient production process can be achieved, the procedures from heating, descaling, rolling to cooling are closely connected, the automation degree is high, the production period is greatly shortened, the production efficiency is improved, and the production cost is reduced. Meanwhile, strict quality control measures are taken in each key step, such as a computer temperature control and pulse combustion technology in a heating process, a high-pressure system and optimized parameters in a descaling process, precise equipment and precise control in a rolling stage, and a three-section laminar cooling process in a cooling link. Therefore, the dimensional accuracy and the cross section shape of the product are ensured.

The steel comprises the following chemical components in percentage by mass: 0.40 to 0.55 percent of C, 0.80 to 1.20 percent of Si, 0.80 to 1.60 percent of Mn, 0.90 to 1.25 percent of Cr, less than or equal to 0.020 percent of P, less than or equal to 0.015 percent of S, less than or equal to 0.15 percent of Cu, less than or equal to 0.08 percent of V and less than or equal to 0.20 percent of Nb, 0.0005 to 0.0050 percent of B, 0.015 to 0.025 percent of N, less than or equal to 0.15 percent of Ni, less than or equal to 0.05 percent of Mo, 0.04 to 0.10 percent of Ti, less than or equal to 0.001 percent of Ca, less than or equal to 0.0008 percent of [O] and the balance of Fe and inevitable impurity elements. After heat treatment, the tensile strength of the steel is 1800 MPa or above, the yield strength is 1620 MPa or above, the ductility is 10% or above, the area reduction rate is 40% or above, and the yield ratio is 0.90 or above; and the boundary dimension precision is that the dimension precision of phi 45 to phi 60 is less than or equal to + / -0.05 mm, and the surface has no defect. According to the invention, key procedures are optimized, researched and controlled, so that the high-performance spring steel for the stabilizer bar of the commercial vehicle has ultrahigh purity, high strength and high yield ratio, and is superior to the existing spring steel for the stabilizer bar of the commercial vehicle.

The invention relates to the technical field of laser cutting equipment, in particular to a laser cutting machine for cutting a machine tool body and a cutting technology.The laser cutting machine comprises a cutting table, a fixing frame arranged at the top end of the cutting table and a laser cutting head arranged at the bottom end of the fixing frame; according to the laser cutting device, when the to-be-cut area of the cover plate is cut, stable and continuous extrusion constraint can be formed, thermal expansion force generated when the long and thin groove is cut is effectively counteracted, groove wall bending and groove width deviation are reduced, and the size precision needed by precise threading and guiding of the long and thin groove is guaranteed; the heat conduction block on the abutting plate can rapidly guide out cutting heat, and in cooperation with directional blowing of the blowing assembly, heat dissipation can be accelerated so as to reduce a heat affected zone, improve the smoothness of a notch, ensure stable and reliable cutting quality, reduce subsequent assembly problems caused by thermal deformation and ensure stable and reliable cutting quality of metal manufacturing equipment during batch machining. And the overall processing efficiency of the metal manufacturing equipment is further optimized.

The invention discloses a vibration suppression and surface quality control method for part cutting of a numerical control machining center, which relates to the technical field of numerical control machining and comprises the following steps: multi-modal sensor fusion monitoring: mounting multi-modal sensors on key parts such as a main shaft, a cutter and a workbench of the numerical control machining center, comprising an acceleration sensor, a strain sensor and an acoustic emission sensor and monitors a vibration signal, a cutting force signal and an acoustic emission signal in the machining process in real time; self-adaptive machining parameter optimization is carried out, and machining parameters are preset according to machining task requirements; dynamic adjustment and intelligent feedback control of machining parameters are realized by adopting a vibration prediction model based on deep learning and an adaptive optimization algorithm; according to the technology, the automation level of the machining process is improved, machining errors and surface quality defects caused by vibration are effectively reduced, and the surface roughness and size precision of the workpiece are remarkably improved.

The invention discloses a clamping and supporting tool for thin-wall parts, and relates to the field of clamping and supporting tools, the clamping and supporting tool comprises a box body part, a square inner groove is formed in the middle of one end of the box body part, a first clamping tool is arranged in the square inner groove, and the first clamping tool is of a frame type structure and is matched with the square inner groove in the box body part; a plurality of first inner grooves which are symmetrically distributed are formed in the peripheral wall of the first clamping tool, the first inner grooves are blind grooves, and clamping springs are fixedly installed at the bottoms of the first inner grooves; by means of the combined structure of a frame type / rod-shaped clamp, an elastic support and a process plate, traditional rigid clamping is replaced, clamping force can be evenly dispersed, plastic deformation during thin-wall part machining is effectively avoided, the size precision, shape tolerance and surface smoothness of parts are guaranteed, and the rejection rate of the parts is reduced; and meanwhile, damage to the inner wall caused by excessive supporting is prevented through the process plate (or the follow-up process plate), and the qualification rate of parts is further increased.

The utility model relates to a positioning device for machining an integrated thin-walled tube, and belongs to the technical field of machining. When in use, an operator axially inserts the device into a pipe hole of the thin-walled pipe, adjusts the axial position of the conical pin through the screw rod, and further pushes the wedge-shaped block to move along the supporting pipe in the radial direction, so that the inner wall of the thin-walled pipe is supported in the radial direction, vibration of the thin-walled pipe in the machining process is effectively reduced, and machining efficiency is improved. Deformation and damage of the thin-walled tube caused by cutter pressure are avoided, the geometrical shape and dimensional accuracy of the thin-walled tube are guaranteed, and therefore the machining stability and the surface machining quality of the thin-walled tube are improved.

The invention discloses an expansion sleeve with low expansion pressure and high external extrusion resistance after expansion. The expansion sleeve comprises chemical components in percentage by weight as follows: 0.04%-0.25% of C, 0.1%-1.0% of Si, 0.5%-1.8% of Mn, 0.02%-0.10% of Nb and Plt. Slt, 150 ppm, Slt; 80 ppm, with the balance being Fe and unavoidable impurities. The production method comprises the following steps: smelting and continuously casting molten steel to obtain a proper casting blank; a pipe blank is produced through hot rolling, and it is ensured that the proper size and a good-plasticity organization structure are achieved; pretreating the hot-rolled pipe blank, wherein the pretreatment comprises acid pickling, cleaning, neutralizing, phosphating and saponifying; cold rolling is conducted to achieve the needed size specification, and high size precision is achieved; heat treatment is carried out, and methods such as annealing or hardening and tempering can be selected to optimize the material performance; and the inner surface is subjected to sand blasting or polishing treatment, and anti-rust measures are taken.

The invention discloses a milling path planning method and system for stress gradient steepest descent, and the method comprises the steps: carrying out the discretization of a residual stress field based on a lightweight bearing member, and mapping the discretized residual stress field to a milling model, so as to form a high-dimensional matrix; calculating a gradient vector and stress streamline distribution of the residual stress field, and according to the gradient vector and the stress streamline distribution, based on a minimum potential energy principle and a stress steepest descent strategy, performing milling path planning degradation to obtain an optimized baseline; and according to the high-dimensional matrix and the optimized baseline, milling path planning is converted into graph complete traversal with the graph theory as guidance, a steepest descent scheme of strain energy and rigidity is optimized, and an optimal milling path scheme is obtained. The method serves for precision machine manufacturing process design, and the problems of array geometric feature milling path planning and machining deformation control of current lightweight force bearing components are solved; and the method is particularly suitable for light-weight bearing components with array geometric characteristics and high dimensional precision.

The invention belongs to the technical field of powder metallurgy, and relates to a preparation method of a high-temperature titanium alloy conical barrel, which comprises the following steps of: firstly, filling 50-150 microns of high-temperature titanium alloy powder into a cylindrical sheath with a simple structure, and filling the powder through vibration to ensure that the density of the high-temperature titanium alloy powder in the cylindrical sheath is 60-70%; then, after the cylindrical sheath is vacuumized and sealed, hot isostatic pressing is conducted for 2-4 h at the temperature of 900-1100 DEG C and the pressure of 100-200 MPa, and a cylindrical blank is obtained; and finally, under the spinning conditions of 800-1000 DEG C and 50-150 r / min, the cylindrical blank is gradually deformed into the target conical barrel piece through a spinning mold. By using the cylindrical sheath, the preparation difficulty and cost of the sheath are simplified, and the powder loading uniformity is improved; the size and shape are accurately controlled through the spinning technology, densification of hot isostatic pressing and grain refinement of spinning deformation are combined, the size precision and mechanical performance of the component are remarkably improved, the forming problem of the component with the complex shape is solved, and the method is suitable for preparing the high-quality high-temperature titanium alloy conical barrel in the fields of aerospace and the like.

A water-guided laser assembly and a precision machining assembly are fixed to the same side of a sliding plate of a vertical five-axis machine tool, an ultrasonic vibration platform is installed on a C-axis workbench of the vertical five-axis machine tool, and the water-guided laser assembly, the ultrasonic vibration platform and the precision machining assembly are controlled by an industrial personal computer to cooperate with each other; a positioning measuring head is adopted to realize relative compensation of the water jet and the cutter; the water jet cooling effect is utilized in water-guided laser processing to reduce the heat affected area and improve the processing quality; ultrasonic vibration auxiliary machining effectively reduces cutting force, inhibits the surface water return phenomenon, improves machining efficiency and prolongs the service life of a cutter; and precise machining (milling, grinding and drilling) is carried out, so that the machining size precision is accurately corrected, and the residual laser-induced damage layer is removed. Through multi-energy-field in-situ combined machining, collaborative optimization of technological parameters and coordinate compensation, the problems of insufficient precision, low efficiency, thermal damage and the like during machining of complex geometrical shapes and difficult-to-machine materials in a single machining technology are solved.

The invention discloses a process manufacturing method of a cut image, which belongs to the technical field of laser cutting, and comprises the following steps of: acquiring a grid area covered by a cut graph of a material to be processed, dividing the cut graph into a plurality of vector diagrams according to the grid area, and performing slotting compensation processing on each vector diagram to obtain a corresponding cutting track; obtaining attribute information of the multiple primitives, determining a reference point of the vector diagram according to the attribute information of the primitives and the cutting trajectory, determining a light-off position on the primitives according to the reference point, the included angle and the vertex, and performing path optimization on the vector diagram according to the light-off position and the cutting trajectory to obtain a target cutting trajectory, the laser machining parameters of the cutting pattern are set based on the target cutting track and the to-be-machined material, hole blasting or hole punching caused by unstable laser of the cutting starting point can be prevented, it is guaranteed that the cutting effect of the to-be-cut material is optimal, the size precision meets the requirement, and the laser cutting efficiency is also improved.

The invention provides a blade robot automatic grinding and polishing system and a control method, equipment mainly comprises a control system, a mechanical arm, a belt sander, an edge machining system, a tool system, a detection system and an exhaust inlet, all the systems cooperate to complete overall machining of blades, manual participation is not needed in the machining period, the equipment automatically completes linkage of all procedures, and the efficiency is improved. Machining and detection are completed at the same time, the technical requirements for size precision, surface roughness and the like of the machined blade are met, and machining is stable and high in efficiency.